HPE AMD EPYC 9365 192MB 3.4 GHz 36 Core Processor P72655-B21
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Product Specifications
Essential Details
- Manufacturer: HPE
- Model Number: P72655-B21
- Category: 36 Core Processor
Core Attributes
- Processor Family: AMD Epyc
- Series: Epyc 9005
- Server-Optimized Design
- Launch Date: October 10, 2024
- Core Count: 36
- Thread Count: 72
Performance Metrics
- Base Frequency: 3.4 GHz
- Maximum Turbo Boost: Up to 4.3 GHz
- All-Core Boost: 4.15 GHz
- L3 Cache Size: 192 MB
- Default Power Consumption: 300W (adjustable from 240W to 300W)
- CPU Socket: SP5
- Multi-Socket Support: Single & Dual Processor Configurations
Memory & Expansion
High-Speed Memory Compatibility
- Supported Memory Type: DDR5
- Memory Channels: 12
- Peak Memory Speed: Up to 6000 MT/s
- Per-Socket Bandwidth: 576 GB/s
Advanced Connectivity
- PCIe Standard: PCIe 5.0
- Lane Configuration: x128
Distinctive Features
Integrated Security & Architecture
- Enterprise-Level Security: HPE Infinity Guard
- Innovative Processing Framework: HPE Infinity Architecture
Optimized for Various Workloads
- Ideal for Content Management & Digital Asset Processing
- Seamless performance in Enterprise Resource Management (ERM)
- Efficient for Supply Chain & Customer Relationship Management
- Designed for General-Purpose Computing & Content Delivery Networks (CDN)
P72655-B21 HPE AMD EPYC 9365 Processor High-Performance Computing Redefined
The P72655-B21 HPE AMD EPYC 9365 is a top-tier processor designed for enterprise workloads, data centers, and cloud environments. Featuring 36 cores and 72 threads, this processor delivers cutting-edge performance, scalability, and efficiency. Its 192MB L3 cache and 3.4 GHz base frequency ensure seamless data processing, making it an ideal choice for businesses requiring high-performance computing solutions.
Key Features and Specifications
High-Core Count and Multi-Threading Capabilities
With 36 cores and 72 threads, the P72655-B21 maximizes parallel processing, optimizing computational efficiency for large-scale workloads, virtualization, and AI applications.
Large L3 Cache for Data-Intensive Applications
The 192MB L3 cache enhances data retrieval speeds, reducing latency and improving overall processor performance. This is crucial for tasks such as deep learning, data analytics, and enterprise applications.
Optimized Power Efficiency
Designed for energy efficiency, the AMD EPYC 9365 balances power consumption with high-speed performance, ensuring cost-effective operations in server environments.
Applications and Use Cases
Enterprise Data Centers
The P72655-B21 is engineered to handle demanding enterprise workloads, supporting high-volume transactions, cloud computing, and mission-critical applications.
Artificial Intelligence and Machine Learning
Its high core count and multi-threading capabilities make it an excellent choice for AI and ML model training, providing the computational power required for deep learning frameworks.
High-Performance Computing (HPC)
Scientific research, simulations, and engineering computations benefit from the processor’s ability to process complex calculations efficiently.
Virtualization and Cloud Computing
Supporting multiple virtual machines (VMs), the processor ensures optimal resource allocation, enhancing cloud-based service delivery.
Compatibility
Supported Server Architectures
The P72655-B21 is compatible with HPE server platforms, ensuring seamless integration with existing data center infrastructures.
Memory and Storage Compatibility
Supporting high-speed DDR5 memory and NVMe storage, this processor maximizes data throughput and system responsiveness.
Security and Reliability
Advanced Encryption
Built-in security features, including AMD Secure Encrypted Virtualization (SEV), safeguard sensitive data and prevent unauthorized access.
Reliability for Critical Operations
HPE’s rigorous testing and validation ensure that this processor meets enterprise-grade reliability standards.
Performance Benchmarks and Comparisons
Benchmarking Against Competitors
The AMD EPYC 9365 outperforms many Intel Xeon counterparts in multi-threaded workloads, thanks to its superior core architecture.
Power Efficiency Metrics
Comparative analysis indicates lower power consumption while maintaining peak performance, making it a sustainable choice for large-scale deployments.